Principal Data Science Engineer - Financial Crimes
499 Washington Blvd., Jersey City NJ, United States
USD 107K-216K Senior-level Full Time
Tasks
- Apply machine learning and AI for suspicious activity detection
- Build features and detection models using SQL Python DBT and Snowflake
- Collaborate with compliance partners to define AML typologies and red flags
- Develop rules based and machine learning detection models
- Evaluate and adopt anomaly detection graph analytics and predictive modeling
- Integrate models into alert management systems
- Lead transaction monitoring model design development and optimization
- Monitor and optimize model performance using MLOps tools
- Perform production monitoring and automated testing
- Provide technical leadership through code reviews and mentoring
- Translate regulatory requirements into detection models
Perks/Benefits
- N/A
Skills/Tech-stack
Alert management | Anomaly Detection | Automated testing | CI/CD | Clustering | DBT | Decision Trees | Feature Engineering | Graph analytics | Java | Language Models | Large Language Models | MLOps | Machine Learning | MongoDB | Neural Networks | Oracle | Predictive Modeling | Python | Regression | Retrieval-Augmented Generation | SQL | Snowflake
Education
Regions
Countries
States
Cities
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